首页|Data on Machine Learning Detailed by Researchers at University of Helsinki (Esti mating Black Carbon Levels With Proxy Variables and Low-cost Sensors)
Data on Machine Learning Detailed by Researchers at University of Helsinki (Esti mating Black Carbon Levels With Proxy Variables and Low-cost Sensors)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Helsinki, Finland, by NewsRx correspondents, research stated, “We develop aportable and a ffordable solution for estimating personal exposure to black carbon (BC) using l ow-costsensors and machine learning. Our approach uses other pollutants and env ironmental variables as proxiesfor estimating the concentrations of BC and comb ines this with machine learning-based sensor calibrationto improve the quality of the inputs that are used as proxies in the modeling.”
HelsinkiFinlandEuropeCyborgsEmer ging TechnologiesMachine LearningUniversity of Helsinki
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